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The COVID-19 pandemic has underscored the need to strengthen national surveillance systems to protect a globally connected world. In low-income and middle-income countries, zoonotic disease surveillance has advanced considerably in the past two decades. However, surveillance efforts often prioritise urban and adjacent rural communities. Communities in remote rural areas have had far less support despite having routine exposure to zoonotic diseases due to frequent contact with domestic and wild animals, and restricted access to health care. Limited disease surveillance in remote rural areas is a crucial gap in global health security. Although this point has been made in the past, practical solutions on how to implement surveillance efficiently in these resource-limited and logistically challenging settings have yet to be discussed. We highlight why investing in disease surveillance in remote rural areas of low-income and middle-income countries will benefit the global community and review current approaches. Using semi-arid regions in Kenya as a case study, we provide a practical approach by which surveillance in remote rural areas can be strengthened and integrated into existing systems. This Viewpoint represents a transition from simply highlighting the need for a more holistic approach to disease surveillance to a solid plan for how this outcome might be achieved.

The role of wildlife in the dissemination of antimicrobial-resistant bacteria and antimicrobial resistance genes (ARGs) in the environment is of increasing concern. We investigated the occurrence, richness and transmissibility potential of ARGs detected in the faeces of three mesocarnivore species: the coyote (Canis latrans), raccoon (Procyon lotor) and Virginia opossum (Didelphis virginiana), and of stray and owned dogs in suburban Chicago, IL, USA. Rectal swabs were collected from live-captured coyotes (n = 32), raccoons (n = 31) and Virginia opossums (n = 22). Fresh faecal samples were collected from locally owned (n = 13) and stray dogs (n = 18) and from the live-captured mesocarnivores, when available. Faecal samples and rectal swabs were enriched to select for Enterobacteriaceae and pooled by mesocarnivore species and dog type (owned or stray). Pooled enriched samples were then analysed for the presence of ARGs using shotgun sequencing. The three mesocarnivore and stray dog samples had twice as many unique ARGs compared to the owned dog sample, which was partly driven by a greater richness of beta-lactamase genes (genes conferring resistance to penicillins and cephalosporins). Raccoon and stray dog samples had the most ARGs in common, suggesting possible exposure to similar environmental sources of ARGs. In addition to identifying clinically relevant ARGs (e.g. blaCMY and qnrB), some ARGs were linked to the class 1 integrase gene, intI1, which may indicate anthropogenic origin. Findings from this pilot investigation suggest that the microbial communities of suburban mesocarnivores and stray dogs can host ARGs that can confer resistance to several antimicrobials used in human and veterinary medicine.

Background Urbanization can have profound effects on ecological interactions. For host–pathogen interactions, differences have been detected between urban and non-urban landscapes. However, host–pathogen interactions may also differ within highly heterogeneous, urbanized landscapes. Methods We investigated differences in infection risk (i.e., probability of infection) within urbanized landscapes using the coyote (Canis latrans) and mosquito-borne nematode, Dirofilaria immitis (the causative agent for canine heartworm), as a case study. We focused on a coyote population in Chicago for which extensive behavioral and heartworm infection data has been collected between 2001 and 2016. Our objectives were to: (i) determine how onset and duration of the heartworm transmission season varied over the 16-year period and across the urban–suburban gradient; and (ii) investigate how heartworm infection risk in coyotes varied over the years, across the urban–suburban gradient, by coyote characteristics (e.g., age, sex, resident status), and coyote use of the urbanized landscape (e.g., use of urban areas, mosquito habitats). Results While onset of the heartworm transmission season differed neither by year nor across the urban–suburban gradient, it was longer closer to the core of Chicago. Of the 315 coyotes sampled, 31.1% were infected with D. immitis. Older coyotes and coyotes sampled in later years (i.e., 2012–2016) were more likely to have heartworm. While coyote location in the urban–suburban gradient was not a significant predictor of infection, the proportion of urban land in coyote home ranges was. Importantly, the size and direction of this association varied by age class. For adults and pups, infection risk declined with urbanization, whereas for subadults it increased. Further, models had a higher predictive power when focusing on resident coyotes (and excluding transient coyotes). The proportion of mosquito habitat in coyote home ranges was not a significant predictor of infection. Conclusions Our findings suggest that urbanization may affect host exposure to vectors of D. immitis, that risk of infection can vary within urbanized landscapes, and that urbanization–wildlife infection associations may only be detected for animals with certain characteristics (e.g., age class and resident status). Graphical abstract

Wildlife can be exposed to antimicrobial-resistant bacteria (ARB) via multiple pathways. Spatial overlap with domestic animals is a prominent exposure pathway. However, most studies of wildlife-domestic animal interfaces have focused on livestock and little is known about the wildlife-companion animal interface. Here, we investigated the prevalence and phylogenetic relatedness of extended-spectrum cephalosporin-resistant (ESC-R) Escherichia coli from raccoons (Procyon lotor) and domestic dogs (Canis lupus familiaris) in the metropolitan area of Chicago, IL, USA. To assess the potential importance of spatial overlap with dogs, we explored whether raccoons sampled at public parks (i.e., parks where people and dogs could enter) differed in prevalence and phylogenetic relatedness of ESC-R E. coli to raccoons sampled at private parks (i.e., parks where people and dogs could not enter). Raccoons had a significantly higher prevalence of ESC-R E. coli (56.9%) than dogs (16.5%). However, the richness of ESC-R E. coli did not vary by host species. Further, core single-nucleotide polymorphism (SNP)-based phylogenetic analyses revealed that isolates did not cluster by host species, and in some cases displayed a high degree of similarity (i.e., differed by less than 20 core SNPs). Spatial overlap analyses revealed that ESC-R E. coli were more likely to be isolated from raccoons at public parks than raccoons at private parks, but only for parks located in suburban areas of Chicago, not urban areas. That said, ESC-R E. coli isolated from raccoons did not genetically cluster by park of origin. Our findings suggest that domestic dogs and urban/suburban raccoons can have a diverse range of ARB, some of which display a high degree of genetic relatedness (i.e., differ by less than 20 core SNPs). Given the differences in prevalence, domestic dogs are unlikely to be an important source of exposure for mesocarnivores in urbanized areas. IMPORTANCE Antimicrobial-resistant bacteria (ARB) have been detected in numerous wildlife species across the globe, which may have important implications for human and animal health. Wildlife can be exposed to ARB via numerous pathways, including via spatial overlap with domestic animals. However, the interface with domestic animals has mostly been explored for livestock and little is known about the interface between wild animals and companion animals. Our work suggests that urban and suburban wildlife can have similar ARB to local domestic dogs, but local dogs are unlikely to be a direct source of exposure for urban-adapted wildlife. This finding is important because it underscores the need to incorporate wildlife into antimicrobial resistance surveillance efforts, and to investigate whether certain urban wildlife species could act as additional epidemiological pathways of exposure for companion animals, and indirectly for humans.

Anthropogenically derived antimicrobial-resistant bacteria (ARB) and antimicrobial resistance genes (ARG) have been detected in wildlife. The likelihood of detecting ARB and ARG in wildlife increases with wildlife exposure to anthropogenic sources of antimicrobial resistance (AMR). Whether anthropogenic sources also increase the risk for AMR to spread in bacteria of wildlife is not well understood. The spread of AMR in bacteria of wildlife can be estimated by examining the richness of ARB and ARG, and the prevalence of ARB that have mobilizable ARG (i.e., ARG that can be transferred across bacteria via plasmids). Here, we investigated whether raccoons (Procyon lotor), with different exposures to anthropogenic sources, differed in prevalence and richness of extended-spectrum cephalosporin-resistant (ESC-R) Escherichia coli, richness of ARG present in ESC-R E. coli, and prevalence of ESC-R E. coli with plasmid-associated ARG. Sampling took place over the course of 10 months at seven sites in Chicago, USA. ESC-R E. coli were isolated from over half of the 211 raccoons sampled and were more likely to be isolated from urban than suburban raccoons. When examining the whole-genome sequences of ESC-R E. coli, 56 sequence types were identified, most of which were associated with the ARG blaCMY and blaCTX-M. A greater richness of ESC-R E. coli sequence types was found at sites with a wastewater treatment plant (WWTP) than without, but no difference was detected based on urban context. ARG richness in ESC-R E. coli did not significantly vary by urban context nor with presence of a WWTP. Importantly, ESC-R E. coli carrying plasmid-associated blaCTX-M and blaCMY ARG were more likely to be isolated from raccoons sampled at sites with a WWTP than without. Our findings indicate that anthropogenic sources may shape the AMR profile of wildlife, reinforcing the need to prevent dissemination of AMR into the environment.

Wildlife are important reservoirs for many pathogens, yet the role that different species play in pathogen maintenance frequently remains unknown. This is the case for rabies, a viral disease of mammals. While Carnivora (carnivores) and Chiroptera (bats) are the canonical mammalian orders known to be responsible for the maintenance and onward transmission of rabies Lyssavirus (RABV), the role of most species within these orders remains unknown and is continually changing as a result of contemporary host shifting. We combined a trait-based analytical approach with gradient boosting machine learning models to identify physiological and ecological host features associated with being a reservoir for RABV. We then used a cooperative game theory approach to determine species-specific traits associated with known RABV reservoirs. Being a carnivore reservoir for RABV was associated with phylogenetic similarity to known RABV reservoirs, along with other traits such as having larger litters and earlier sexual maturity. For bats, location in the Americas and geographic range were the most important predictors of RABV reservoir status, along with having a large litter. Our models identified 44 carnivore and 34 bat species that are currently not recognized as RABV reservoirs, but that have trait profiles suggesting their capacity to be or become reservoirs. Further, our findings suggest that potential reservoir species among bats and carnivores occur both within and outside of areas with current RABV circulation. These results show the ability of a trait-based approach to detect potential reservoirs of infection and could inform rabies control programs and surveillance efforts by identifying the types of species and traits that facilitate RABV maintenance and transmission., Author summary Rabies, a fatal viral disease transmitted via the bite of an infected animal, causes over 59,000 human deaths each year. While domestic dogs are responsible for most human cases, wild animals, particularly carnivores and bats, play an essential role in rabies persistence. Several carnivore and bat species have been identified in the field and laboratory as important rabies reservoirs that can maintain different rabies variants. However, the role of many other carnivore and bat species remains unknown and additional insights are hampered by logistical and funding limitations of field and laboratory research. Using machine learning, we used information on known rabies reservoirs to forecast previously unidentified rabies reservoirs. Our models predicted 44 carnivore and 34 bat species that could already be serving as unrecognized rabies reservoirs or that have trait profiles suggesting their capacity to become reservoirs via future host shifting. In many cases, the distribution of these predicted reservoirs overlaps geographically with known reservoir ranges. Our findings can help understand rabies circulation in wildlife and is a first step to guide future epidemiological surveillance in neglected species.

Identifying patterns and drivers of infectious disease dynamics across multiple scales is a fundamental challenge for modern science. There is growing awareness that it is necessary to incorporate multi-host and/or multi-parasite interactions to understand and predict current and future disease threats better, and new tools are needed to help address this task. Eco-phylogenetics (phylogenetic community ecology) provides one avenue for exploring multi-host multi-parasite systems, yet the incorporation of eco-phylogenetic concepts and methods into studies of host pathogen dynamics has lagged behind. Eco-phylogenetics is a transformative approach that uses evolutionary history to infer present-day dynamics. Here, we present an eco-phylogenetic framework to reveal insights into parasite communities and infectious disease dynamics across spatial and temporal scales. We illustrate how eco-phylogenetic methods can help untangle the mechanisms of host-parasite dynamics from individual (e.g. co-infection) to landscape scales (e.g. parasite/host community structure). An improved ecological understanding of multi-host and multi-pathogen dynamics across scales will increase our ability to predict disease threats.

There is a growing interest in identifying specific causes and consequences of variation in individual social behaviour as a means of understanding how different individuals balance the costs and benefits of group living. In this study, we used social networks to examine variation in individual social behaviour in wild Grant's gazelles, Nanger granti, and explored potential drivers and consequences of this variation. First, we quantified two aspects of individual network position (weighted degree and closeness) on a monthly basis for 12 consecutive months and examined life-history (age) and abiotic (rainfall) factors that could explain among-individual variation in network position. Next, we examined the level of within-individual repeatability in network position over time. We then tested for potential consequences of this variation focusing on parasite infection and diet quality. Rainfall and age were strong predictors of variation in closeness but not degree. Interestingly, we found that one aspect of individual network position (closeness) varied over time, while another (degree) was moderately repeatable. The difference in within-individual repeatability of the two measures may be explained by the dependence of closeness on rainfall. In addition, we found that individual network position had consequences for both parasitism and diet, but the magnitude and direction of these effects depended on parasite type, connectivity measure and environmental conditions. Overall, our results suggest that environmental and host factors strongly influence variability in certain aspects of social connectivity in Grant's gazelles, and that abiotic and biotic forces, together, mediate the consequences of social network position.

Elevated parasite infection risk is considered to be a near-universal cost of social living. However, living in groups may also provide benefits that reduce the negative impacts of infection. These potential ‘tolerance’ benefits of living socially are theoretically possible, but have rarely been described. In this study, we used an anthelmintic treatment experiment in wild Grant's gazelles ( Nanger granti ), who are commonly infected with gastrointestinal nematodes (GIN), to show that social living confers both costs and benefits related to GIN parasitism. We show that although larger group size increases GIN infection risk, a key cost of GIN infection—the suppression of food intake—is simultaneously moderated by living in larger groups. Our findings help illuminate the complex role parasites play in the evolution of host social behaviour.

The outbreak and transmission of disease-causing pathogens are contributing to the unprecedented rate of biodiversity decline. Recent advances in genomics have coalesced into powerful tools to monitor, detect, and reconstruct the role of pathogens impacting wildlife populations. Wildlife researchers are thus uniquely positioned to merge ecological and evolutionary studies with genomic technologies to exploit unprecedented “Big Data” tools in disease research; however, many researchers lack the training and expertise required to use these computationally intensive methodologies. To address this disparity, the inaugural “Genomics of Disease in Wildlife” workshop assembled early to mid-career professionals with expertise across scientific disciplines (e.g., genomics, wildlife biology, veterinary sciences, and conservation management) for training in the application of genomic tools to wildlife disease research. A horizon scanning-like exercise, an activity to identify forthcoming trends and challenges, performed by the workshop participants identified and discussed 5 themes considered to be the most pressing to the application of genomics in wildlife disease research: 1) “Improving communication,” 2) “Methodological and analytical advancements,” 3) “Translation into practice,” 4) “Integrating landscape ecology and genomics,” and 5) “Emerging new questions.” Wide-ranging solutions from the horizon scan were international in scope, itemized both deficiencies and strengths in wildlife genomic initiatives, promoted the use of genomic technologies to unite wildlife and human disease research, and advocated best practices for optimal use of genomic tools in wildlife disease projects. The results offer a glimpse of the potential revolution in human and wildlife disease research possible through multi-disciplinary collaborations at local, regional, and global scales.

Social, ecological and environmental factors all influence how much time animals allocate to different behaviours. Here, we investigated whether parasites affect behavioural time allocation in a free-ranging ungulate that must apportion time to multiple competing activities crucial for maintenance, survival and reproduction. We examined how experimental removal of gastrointestinal and pulmonary nematodes influenced the relative amounts of time that female Grant's gazelle, Nanger granti, allocated to core behaviours including foraging, vigilance, moving and resting. The anthelmintic treatment reduced female parasite load for ∼120 days, and during this period, females relieved of their parasitic nematodes adjusted their daily time budgets. At the group level, parasite removal resulted in an increase in foraging time and a decrease in vigilance. This effect was also apparent at the individual level, where treated females allocated more time to foraging at the expense of vigilance. In addition to treatment, group size was a significant predictor of the relative time spent foraging versus vigilant, where females in larger groups allocated more time to foraging at the expense of vigilance. Our results suggest that parasites may induce changes in host behaviour that are of similar magnitude to some of the most commonly studied social drivers of behavioural time allocation.

We isolated and characterized a set of 30 novel microsatellite loci for Grant’s gazelle (Nanger granti). Loci were screened in 24 individuals from a population in Laikipia County, Kenya. The mean number of alleles per locus was 3.73 (range 1–10), and observed heterozygosity ranged from 0.00 to 0.870 (mean 0.404). The Grant’s gazelle is currently listed as a species of least concern by the IUCN, but declining numbers across a large part of its range are a cause for concern. These new loci will facilitate basic behavioral, ecological, and population genetic studies of a species facing declining populations.